{"id":"W4415791550","doi":"10.1161/circ.152.suppl_3.4367453","title":"Abstract 4367453: External Validation of an AI-ECG algorithm for Occlusive Myocardial Infarction Detection in a General Chest Pain Population","year":2025,"lang":"en","type":"article","venue":"Circulation","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thornhill Medical (Canada)","funders":"","keywords":"Chest pain; Myocardial infarction; Population; Acute coronary syndrome; Stenosis; Cohort; Conventional PCI; Stent; Generalizability theory","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000682954,0.0001043285,0.0002168343,0.0004413266,0.00007795028,0.00002221047,0.0000298474,0.0001445526,0.000006758592],"category_scores_gemma":[0.0001680807,0.0001158955,0.0001235712,0.0003903374,0.00001306227,0.000258106,0.000006691988,0.0001109259,0.000001196862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000268004,"about_ca_system_score_gemma":0.00004305991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007938829,"about_ca_topic_score_gemma":0.00004478732,"domain_scores_codex":[0.9989688,0.00008478201,0.0003953351,0.0002344368,0.0001929072,0.0001237231],"domain_scores_gemma":[0.9993793,0.00005358541,0.0001656408,0.0001576262,0.0002061248,0.00003772684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007670821,0.0001022242,0.2818424,0.00008385971,0.00004832871,8.820214e-7,0.00009200045,0.0110418,0.1038513,0.00001610004,0.000002311676,0.6028422],"study_design_scores_gemma":[0.0006806817,0.00004642232,0.6322442,0.0000862925,0.00008900052,0.000001616927,0.00003490045,0.3532013,0.01294785,0.0005950939,0.00001340456,0.00005914365],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7014853,0.00002080972,0.2978536,0.00006253467,0.000226547,0.0002920577,0.000003774629,0.00002864454,0.00002674466],"genre_scores_gemma":[0.99402,0.000005093285,0.005038906,0.00005274004,0.0004771963,0.00004599776,0.0003273776,0.000011881,0.00002076908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.602783,"threshold_uncertainty_score":0.4726081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259852731572299,"score_gpt":0.3004568950023463,"score_spread":0.2878583676866234,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}